AI-driven tools are redefining 3D modeling and manufacturing by merging generative design, automation, and real-time optimization with traditional CAD workflows. Recent advances span from text-to-3D ...

Multiple research fronts saw major advances on April 24, 2026, with AI models driving new capabilities in protein interaction prediction, automated protein design, and earthquake engineering ...

AI’ into more and more places, Anthropic’s Model Context Protocol (MCP) has been adopted as the standard to connect LLMs ...

A locally trained sepsis model shows early warning potential in acute care, but its accuracy varies by the sepsis definition used, and high false positives limit its clinical utility.

Abstract: This article presents a more robust model predictive direct speed control based on the third-order extended state observer (RMPDSC-TESO) method for surface-mounted permanent magnet ...

Predictive flow helps University Health reduce length of stay by over half a day and improve discharge volume and ED boarding times.

Toyota debuted CUE7, an AI-powered humanoid robot that learned to shoot free throws through trial and error, in front of 8,400 fans at Toyota Arena Tokyo.

Backed by Alibaba, ByteDance, Xiaomi and Meituan, X Square Robot unveiled a next-generation embodied AI foundation model for home robots and said its first deployments in everyday households will ...

Predictive maintenance fails not from bad models, but broken handoffs. Here's the integration architecture that closed the ...

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...